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dot-kaddu-bert-model4

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metadata
license: apache-2.0
base_model: distilroberta-base
tags:
  - generated_from_keras_callback
model-index:
  - name: kaddu341/dot-kaddu-bert-model4
    results: []

kaddu341/dot-kaddu-bert-model4

This model is a fine-tuned version of distilroberta-base on an unknown dataset. It achieves the following results on the evaluation set:

  • Train Loss: 1.0841
  • Validation Loss: 0.9604
  • Epoch: 2

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
  • training_precision: float32

Training results

Train Loss Validation Loss Epoch
1.5791 1.2403 0
1.2163 1.0654 1
1.0841 0.9604 2

Framework versions

  • Transformers 4.33.0
  • TensorFlow 2.12.0
  • Datasets 2.1.0
  • Tokenizers 0.13.3